Abstract
The objective of this research is to present formulation and solution methodology for optimum design of thin-walled composite beams. The geometric parameters and the fiber orientation of beams are treated as design variables simultaneously. The objective function of optimization problem is to maximize the critical flexural-torsional buckling loads of axially loaded beams which are calculated by a displacement-based one-dimensional finite element model. The analysis of beam is based on the classical laminated beam theory and applied for arbitrary laminate stacking sequence configuration. A micro genetic algorithm (micro-GA) is employed as a tool for obtaining optimal solutions. It offers faster convergence to the optimal results with smaller number of populations than the conventional GA. Several types of lay-up schemes as well as different beam lengths and boundary conditions are investigated in optimization problems of I-section composite beams. Obtained numerical results show more sensitivity of geometric parameters on the critical flexural-torsional buckling loads than that of fiber angle.
| Original language | English |
|---|---|
| Pages (from-to) | 1065-1074 |
| Number of pages | 10 |
| Journal | Composite Structures |
| Volume | 132 |
| Early online date | 2 Jul 2015 |
| DOIs | |
| Publication status | Published - 15 Nov 2015 |
| Externally published | Yes |
Keywords
- Flexural-torsional buckling
- Genetic algorithm
- Laminated composites
- Optimum design
- Thin-walled beams
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